Bilevel optimization is a field of mathematical programming in which some variables are
constrained to be the solution of another optimization problem. As a consequence, bilevel …

This paper is devoted to bilevel optimization, a branch of mathematical programming of both
practical and theoretical interest. Starting with a simple example, we proceed towards a …

Feature Extraction is a method of capturing visual content of images for indexing & retrieval.
Primitive or low level image features can be either general features, such as extraction of …

Bilevel programming problems are hierarchical optimization problems where the constraints
of one problem (the so-called upper level problem) are defined in part by a second …

Bilevel optimization problems are hierarchical optimization problems where the feasible
region of the so-called upper level problem is restricted by the graph of the solution set …

This paper addresses the main challenges to the security constrained optimal power flow
(SCOPF) computations. We first discuss the issues related to the SCOPF problem …

This paper deals with day-ahead security management with respect to a postulated set of
contingencies, while taking into account uncertainties about the next day generation/load …

In this bibliography main directions of research as well as main fields of applications of
bilevel programming problems and mathematical programs with equilibrium constraints are …

Inverse optimization refers to the inference of unknown parameters of an optimization
problem based on knowledge of its optimal solutions. This paper considers inverse …

One of the most frequently used approaches to solve linear bilevel optimization problems
consists in replacing the lower-level problem with its Karush–Kuhn–Tucker (KKT) conditions …